I am new to QGIS. I want to map wind plants, I have the data of each coordinates and the electricity generated like in this picture.
The data I have for example has these attributes:
No. | x coordinate | y coordinate | electricity generated
Like in the picture, you can see that some coordinates are near to each other making a group. I want to group the coordinates which are near with each other into one point only and show the total value of electricity generated.
Do any of you have any idea to make this possible using QGIS?
Related
I am looking for some help in regards to writing a variable for a Pie Chart on my dashboard. I currently have the following variable for a KPI chart and this shows the latest weeks value but has the flexibility to change if a different week is selected.
=Sum({<week_date ={">=$(=Weekstart(max(week_date)))<=$(=Weekend(max(week_date)))"}>}total_calls)
Now for my pie chart, I want to show the different type of work that has been worked on during the week and this is through the 'source' column which has the following types. This will be my dimension(slice).
SOURCE
Calls
Email
Offline
The measure will show the number of 'touches' and is then displayed as a %. This works if I put the fields in, but I would like to write a variable so that it is dynamic but not sure how I do that.
Would appreciate any advice on how to move this forward.
UPDATES
I have the following values for the latest week (week ending) 21/02/2020:
Calls | 8,477
Email | 4,040
Offline | 9,052
and would like to show this in a Pie Chart. Currently I have managed to write the following definition:
=Sum({<[w_c.week_date] ={">=$(=Weekstart(max([w_c.week_date])))<=$(=Weekend(max([w_c.week_date])))"}>}[w_c.touches])
but I get a total instead of the individual sums for the Sources even though I have selected the SOURCE as the DIMENSION.
SOURCE | $(vVariable)
Calls | 21,569
Email | 21, 569
Offline | 21,569
Any ideas on how I can fix this?
I have added my table view as well as how I am able to get the figures manually if I select the source and week_date column as the dimension and the touches as the measure. If I filter for the latest week it shows me the volumes I want, but I would like this to work dynamically through the use of a variable. I have attached an image showing this, numbers will be different to the above as these have been updated.
I have managed to fix this by removing the "=" from my expression and this gave me the correct individual figures.
=Sum({<[w_c.week_date] =
to
Sum({<[w_c.week_date] = ...
suppose there're 3 items with their respective vol:
a b c
12 20 28
each has a certain vol added and subtracted
a b c
added 3 5 12
subtracted 2 7 8
What format can best visualize the dynamics of inflow and outflow as such, even if number of items are far more than 3?
As I commented above, one visualization you could use would actually be a combination of a line chart, to show the running overall trend of the volume, along with a bar for each day, to show the positive or negative gain for that day. In the financial world, there is already such a chart, called a candlestick chart. Here is sample of one:
The way to read the chart is that the circle is where the trend ended in that year. But the start of the bar (below for losses, above for gains) is where the value actually started in that year. This is a convenient way to convey both pieces of information which you want to get across to your audience.
I have listed a sample data set. I need to get details of the different elements in the categorical variable over the map while hovering over the countries.
--Dragging and dropping the categorical variable just displays the values for the first element.
the variables used are:
country (geographic)
sales (numeric)
furniture (containing 'table' and 'chair')
I need to get details of sales of chairs and tables over the country on the map while hovering over the countries.
Thanks for the help
the sample data set as seen in the image
I would use the creating a graph in a tooltip hack to solve this problem. The issue is that the Level of Detail of your data does not support the visualisation you want to make.
Do the following:
1) Create cohort calculated fields: You need to separate a measure so that it is specific to one member in a dimension (basically a cross tab).
For you this means creating a calculated field per furniture type.
e.g. Chair Sales Cohort =
if [Furniture] = 'chair'
then [Sales]
END
Repeat this for each furniture type
You can then drag each of these onto the tooltip pane and you will have tooltips :)
If you wanted to get fancy follow step 2 and 3 from this link to make it a bar chart instead of just a number in a tooltip. make a bar chart in tableau
Good luck !
I have a table with 10 million records. Each record indicates one person. Each record has person_id, latitude, longitude, postal-code. I want to pick one query and tell how many other people in 10 miles radius (Distance can be calculated from Latitudes and Longitudes). Searching 10 million records and calculating distance to check if inside 10 million is not a good way. So, I will search only in neighboring postal codes(I will get it somehow). How can I search entry having specific postal code(not all 10 million records)?
Why not take lat/long and create a box extending 10 miles in all four directions first?
Then issue a query looking for people with lat/long in that box. Use a WHERE that does
x > xLess10 and x < xPlus10 and y > yLess10 and y < yPlus10
Now you have a smaller list and you can calculate the actual distance with something similar to sqrt((x1 - x2)^2 + (y1 - y2)^2) for that smaller list. But it has to work on a sphere, not a grid marked off in miles.
You can try adding a and zip in (555555, 555556, etc) to see if that runs faster or not. A precomputed list of all other zip codes with locations within 10 miles of anywhere within a zip code would be pretty easy to set up in another table.
#Randy made a comment that made me realize that this doesn't work very well for locations within 10 miles of the north and south poles. Maybe that doesn't matter because the population is pretty small up there. Or use another method of just getting everyone within a cirle around the pole and 10 miles south (or north) or the x,y location.
Also, you have to find a way to convert from lat/long to miles. The longitudinal lines get closer together the farther you are from the equator.
I'm quite new to SSAS so bear with me!
I have created a snowflake schema with Members in the Fact table and I have create a distance from club table with DistanceID,Distance,DistanceRange (this is denormalised in SQL Server with distance range appearing multiple times per distance. e.g Distance 1 has a range of 1 - 10 and Distance 2 also has a range of 1 - 10
I have then created a hierarchy with Distance Range at the top and Distance beneath it. This works OK in terms of providing drill down functionality but the ordering is wrong for distance range. It is ordering them by Distance Range as a string so I get 1-10 followed by 100-10 and then 20-30.
How do I tell the Distance Range to order by Distance ID
Not sure if I'm doing it right.
When you are editing your Dimension, click on the attribute DistanceRange and in the properties, there should be an option to 'OrderBy' and 'OrderByAttribute'. Try and use those the get the result you need. Otherwise, you might want to try change the 'Type' in the properties menu and see if that works.